From fa9ca810c1e6b7bd68f44d57789142e861539f08 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mine=20=C3=87etinkaya-Rundel?= Date: Sun, 7 Mar 2021 10:19:44 +0000 Subject: [PATCH] Checking that auto publish is turned off --- 00-preface.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/00-preface.Rmd b/00-preface.Rmd index e3d1c43d..f9a3fe9d 100644 --- a/00-preface.Rmd +++ b/00-preface.Rmd @@ -10,7 +10,7 @@ We hope readers will take away three ideas from this book in addition to forming 1. **Introduction to data.** Data structures, variables, summaries, graphics, and basic data collection techniques. 2. **Exploratory data analysis.** Data visualization and summarisation. -3. **Correlation and regression.** Visualising relationships between many variables and descriptive summaries for quantifying the relationship between two variables. +3. **Correlation and regression.** Visualizing relationships between many variables and descriptive summaries for quantifying the relationship between two variables. 4. **Multiple regression.** Descriptive summaries for quantifying the relationship between two variables. 5. **Foundations for inference.** Case studies are used to introduce the ideas of statistical inference with randomization and simulations. 6. **Inference for categorical data.** Inference for proportions using simulation and randomization techniques as well as the normal and chi-square distributions.